Infinity
Invalid access code
Confidential — Authorized Access Only
Infinity
Prepared For
FedEx
RFP Round 2 — DDC Partnership

Shift to AI Enabled Growth
& Efficiency Acceleration

Six years of proven execution. A system already in motion. A clear path forward.

Infinity
×
FedEx
6
Years Proven
✔
System In Motion
0
Days to Transition
∞
Roadmap Forward
CONFIDENTIAL — PREPARED FOR FEDEX DDC LEADERSHIP

FedEx DDC RFP Presentation Agenda

Infinity / Buyerlytics — April 8, 2026
01 Welcome & Introductions
02 Partnership Journey & Foundation
03 Cultural Alignment & Operating Philosophy
04 BPO Industry Perspective & Buyerlytics Evolution
05 Buyerlytics Revenue Operating System
06 Technology Strategy & Roadmap
07 AI Demo
08 Training & Enablement Model
09 Talent Strategy
10 Selling Strategy & Customer Engagement
11 Investment Strategy
12 Delivery Model: Onshore, Nearshore, Offshore
13 Proactive Innovation & Continuous Improvement
14 Closing & Discussion
Section I

Leadership Team

Tom Leidigh
Chief Executive Officer
Zach Calef
Chief Revenue Officer
Stacey Raus
VP, Delivery & HCM
Tiffany Moceri
VP, Growth & Product
Miranda Kulis
Director, Client Success
Rabia Aziz
Director, Data & Analytics
Andrea Snyder
Director, Product Delivery
Steve Carlile
Senior Sales Manager
Ty Rhamy
Strategic Consultant
Our Journey Together

A Partnership Built on Innovation

2018
The Introduction
Industry event in Carmel, CA. Patrick attended Tom's session on a new model — now known as Buyerlytics. Included in FedEx RFP.
Nov 2019
Selected & Launched
Following rigorous evaluation, Infinity selected as DDC partner. Partnership officially launched.
Year 1
Lead Scoring, ADNR & Digital Calendar
Implemented lead scoring and ADNR frameworks. Designed and launched a customized digital calendar for FedEx.
Year 2
Cost & Productivity
Drove key initiatives: cost reduction, productivity improvement, and revenue growth.
Year 3
Sales Playbooks
Structured sales processes and standardized playbooks across regions.
Year 4
Comp Model Overhaul
Enhanced compensation models. Rolled out new plan aligning AE incentives with performance.
Year 5
Nearshore Delivery
Implemented lower-cost nearshore model. Expanded operational capacity while managing costs.
Year 6
Revenue OS Built
Buyerlytics Revenue OS built from concept to production. AI coaching deployed.
Today
Accelerate Forward
System in motion. Ready to accelerate — not start over.

This partnership started with a vision

Patrick saw something different in Carmel — a model built on buyer intelligence, not headcount. Six years later, that vision is a fully operational Revenue OS.

The Industry Challenge
The BPO Model Has Changed —
And So Have Expectations
The Old Model
❌
Headcount = Success
❌
Hero-Dependent Performance
❌
Adhoc Coaching By Anecdote
❌
React After Problems Surface
❌
High Attrition, Low Investment in Support
❌
Low Compensation
The Old Model
VS
The Infinity Standard
✔️
Revenue Accountability
✔️
System-Driven Consistency
✔️
AI-Powered Real-Time Coaching
✔️
Predict and Prevent
✔️
Career vs. Temporary Job
✔️
Life Changing Income
Where Infinity operates
The model has hit its ceiling
The answer is a fundamentally different operating system for revenue performance.
The Revenue Operating System for BPOs
BUYERLYTICS® Rev OS
A New 100% Performance Standard®
Signal Inputs
📡Buyer Signals
Intent, engagement, behavioral triggers
hover for detail →
📡 Buyer Signals
What Feeds In
  • Inbound and outbound engagement activity
  • Buyer intent and behavioral trigger data
  • Contact and account interaction history
  • Campaign response and conversion signals
Why It Matters
Unified buyer signals become the foundation for every downstream action — without clean inputs, the system can't separate signal from noise.
📊Performance Data
Pipeline, conversion, velocity KPIs
hover for detail →
📊 Performance Data
What Feeds In
  • Pipeline stage and conversion rate metrics
  • Revenue, retention, and margin KPIs
  • Sales velocity and cycle time data
  • Agent and team performance scorecards
Why It Matters
Performance data establishes the baseline for identifying where revenue, retention, and margin opportunities exist — the starting point for the Insights phase.
🏗️Operating Model
Workflows, systems, org structure
hover for detail →
🏗️ Operating Model
What Feeds In
  • Current workflow and process structure
  • Technology stack and integrations
  • Organizational design and role clarity
  • Governance and management cadence
Why It Matters
Buyerlytics doesn't replace the operating model — it embeds into it. Understanding the existing framework is critical to implementation design.
👥Workforce & Culture
People, readiness, talent structure
hover for detail →
👥 Workforce & Culture
What Feeds In
  • Hiring profiles and role design readiness
  • Training gaps and onboarding maturity
  • Retention, recognition, and compensation data
  • Cultural alignment and performance accountability
Why It Matters
People are the execution layer. The system makes everyone perform — but only if workforce readiness and culture alignment are in place.
Our Proven 5 Step Process
1
Insights
Assess current state, find highest-value opportunities
Phase 1: Insights
Identify where revenue, retention, and margin opportunities exist through a structured diagnostic.
Two Entry Paths
  • Snapshot ($10K) — Focused diagnostic, directional clarity
  • Blueprint ($50K) — Deep cross-functional assessment + implementation blueprint
Deliverables
  • Current-state findings and gap analysis
  • Prioritized opportunity areas with sequencing
  • Operating model recommendations
  • Phased activation roadmap & KPI/ROI baseline
2
Activate
Embed the OS into people, process, tech
Phase 2: Activate
Guided implementation — embed Rev OS into the client's people, processes, technology, and operating structure.
Key Actions
  • Launch implementation workstream and rollout plan
  • Stand up Revenue Success Office cadence
  • Configure and deploy workflows, tools, systems
  • Onboard leaders, managers, and frontline teams
  • Install governance and execution routines
  • Prepare all five engines for go-live
3
Validate
Engines go live, measure and prove results
Phase 3: Validate
Execution and optimization — Rev OS Engines go live. Performance is measured and results are proven.
Engines Activated
  • Strategy — Alignment, priorities, visibility
  • Human Capital — Hiring, training, retention
  • Technology — CRM, automation, enablement
  • Performance — Playbooks, coaching, QM
  • Intelligence — Dashboards, AI, ROI tracking
4
Ignite
Scale what works, deepen adoption, maximize ROI
Phase 4: Ignite
ROI realization — engines shift to hyper-drive. Scale practices across teams, programs, and accounts.
Outcomes
  • ROI quantified and visible to leadership
  • Performance gains sustained over time
  • Adoption expands across the business
  • Rev OS Engines driving long-term value
5
Scale
Operationalize what works across teams
Phase 5: Scale
Institutionalize the system. Operationalize performance across sites, programs, and new client engagements.
What Happens
  • Standardize delivery across sites and regions
  • Reduce variance, increase predictability
  • Deploy across new enterprise client footprints
  • Use as competitive wedge to win new logos
  • Performance culture becomes institutional DNA
Guided By
The Revenue Success Office®
The command center — aligning leadership, client success, and execution teams to drive performance, adoption, and ROI.
Powered By the Rev OS Engines
🧭 Strategy ▴
🧭 Strategy Engine
Your Fractional Board of Directors
Strategic alignment to revenue and margin goals — defining what winning looks like, where to compete, and how to build the edge.
Core Capabilities
  • Strategic alignment to revenue and margin goals
  • Opportunity prioritization and execution sequencing
  • Operating model alignment
  • Leadership visibility into what matters most
At Scale
  • Expansion planning across teams, clients, or BUs
  • Ongoing alignment to growth and margin priorities
  • Prioritized roadmap for continued scale
Anchored In
The Five Strategic Choices: Define winning → Choose where to compete → Decide how to win → Build capabilities → Install management systems.
👤 Human Capital ▴
👤 Human Capital Engine
Not Commodity Labor — Performance Culture
AEs operate inside the Buyerlytics system with continuous skill development, meritocratic accountability, and an "own your seat" mindset.
Core Capabilities
  • Hiring profiles and role design
  • Recruiting support and selection standards
  • Onboarding and ramp structure
  • Training and ongoing readiness (LMS)
  • Culture, recognition, and retention support
  • Compensation and performance alignment
At Scale
  • Scaled hiring and talent planning
  • Stronger retention and performance culture
  • Expanded role clarity and comp alignment
Product Suite
Hiring Profile SystemRecruiting SOPCareer PathingAE Comp ArchitecturePerformance Cadence
⚙️ Technology ▴
⚙️ Technology Engine
Built In, Not Bolted On
Seamless technology integration with AI-enhanced tools for productivity, insight generation, and frontline enablement.
Core Capabilities
  • CRM and workflow configuration
  • Tool alignment and integration support
  • Process automation opportunities
  • System enablement for frontline teams
  • AI integration and testing
At Scale
  • Broader workflow adoption and utilization
  • Expanded integration and automation
  • Infrastructure to support scale across the model
Product Suite
CRM CoreWFM IntegrationAI RoleplayAI Operational TriggersEnterprise Security
🚀 Performance ▴
🚀 Performance Engine
The Execution Standard
Standardized execution, coaching architecture, and quality management — the system that makes everyone perform, not just the top 25%.
Core Capabilities
  • Revenue playbooks and execution standards
  • Coaching routines and management cadence
  • Quality management and compliance oversight
  • Campaign and program execution support
  • Daily / weekly / monthly performance cadence
2-3x
Avg performance lift
3.4x
Gap compressed (from 8.7x)
Product Suite
Process PlaybooksCoaching ArchitectureQM CoreQM ComplianceClient Success RoadmapSLA/SOW Governance
🧠 Intelligence ▴
🧠 Intelligence Engine
Inspect What You Expect
Real-time visibility into leading and lagging indicators at the individual and program level. AI-enabled insights turn data into action.
Core Capabilities
  • KPI dashboards and scorecards
  • Performance thresholds and reporting
  • Analytics and trend visibility
  • ROI tracking and baseline measurement
  • AI-enabled insights and triggers
  • Data-driven optimization recommendations
At Scale
  • ROI dashboards and business impact reporting
  • Trend analysis and performance benchmarking
  • Expanded visibility across revenue, retention, margin
  • Data-driven recommendations for future growth
Product Suite
Analytics CoreCRM AnalyticsAI Quality IntelRevenue AttributionPerformance ScorecardKPI Dictionary
Performance Outcomes
📈Land Customers
Higher acquisition, faster conversion
← hover for detail
📈 Land Customers
What The System Delivers
  • 2-3x lift in acquisition performance
  • Faster pipeline conversion and shorter cycles
  • 5.7x volume increase (Global Tech case)
  • Proven across B2B, B2C, and multi-vertical
The Shift
From hoping the top 25% carries the team to a system where the entire floor produces. The bottom doubles; the variance collapses.
🚀Expand Customers
Expansion, upsell, scalable growth
← hover for detail
🚀 Expand Customers
What The System Delivers
  • 6.3x average order value increase (Global Tech)
  • Upsell maximized — policies per order +43%
  • Teams scaled 4x with predictable performance
  • Innovation Lab de-risks pilots before scaling
The Shift
From labor scale to performance scale. Revenue per AE expands, margins grow, and the system gets better as it scales.
💎Retain Customers
Retention, quality, brand protection
← hover for detail
💎 Retain Customers
What The System Delivers
  • Proactive churn prevention via intelligence signals
  • Integrated QA protecting brand integrity
  • Trial-to-pay conversion lifted +40pts
  • Client success roadmaps driving expansion
The Shift
From reactive account management to a governed system of client success — where retention is an outcome of execution quality, not relationship management.
⚡Grow Margins
Efficiency, margin discipline, ROI
← hover for detail
⚡ Grow Margins
What The System Delivers
  • Higher efficiency reduces cost per acquisition
  • Revenue per AE increases while cost structure holds
  • Performance economics replace labor economics
  • Revenue share alignment drives accountability
The Shift
Margins expand, not compress. The math works for everyone — enhanced incentives drive achievement while efficiency gains flow to the bottom line.
Get Customers. Keep Customers. At Scale.
Our Approach

AI Strategy: Smart, Not Heavy

We don't chase AI hype. We solve real problems.

1

Identify the Need First

Every AI initiative starts with a specific performance gap — not a technology looking for a problem. We audit the workflow, quantify the impact, and only then design the solution.

2

Co-Develop with Clients

FedEx isn't a customer of our AI — you're a co-creator. We build with your data, your workflows, your edge cases. This isn't off-the-shelf. It's purpose-built for DDC.

3

Build First, Buy If Needed

We build proprietary solutions that we own and control. If a best-in-class vendor solves a specific layer better, we integrate it — but the intelligence layer stays ours. No vendor lock-in. No black boxes.

4

Measure Everything

Every AI capability has a defined ROI target before deployment. If it doesn't move revenue, retention, or ramp time — it doesn't ship. We kill projects that don't prove value.

Roadmap

Technology Evolution Timeline

PHASE 1 — Q1 & Q2 2026
Testing & Validation of AI
Database Assessment for AI Readiness Model Testing & Validation Data Pipeline Architecture
PHASE 2 — Q4 2026
Version 1 Deployed & Licensable
Production AI Deployment Licensable Platform Release Client-Facing Dashboards
PHASE 3 — 2027
Full Release & Agentic AI
Agentic AI Capabilities Full Licensable Platform Network Upgraded
PHASE 4 — 2027 & BEYOND
Autonomous Revenue Intelligence
Self-Optimizing Performance Models Predictive Attrition & Hiring Engine Cross-Client Intelligence Network Autonomous Pipeline Management
RFP Round 2

Discussion Topics

01 Technology (AI, Integration with FedEx) +
a. What is your long-term vision in how your company will invest in AI to drive coaching, talent acquisition, & revenue retention and growth for FedEx DDC program?
b. How has your technology or AI capability improved over the last 18 months across FedEx? Other clients?
c. What AI capabilities are available today vs. on your near-term roadmap specifically for B2B outbound sales?
d. How do you validate that AI-driven coaching or insights are improving seller behavior and revenue outcomes (not just activity)?
e. What level of real-time visibility will FedEx have into AI insights, recommendations, and rep adoption?
f. Describe how quickly new FedEx-specific sales messaging or strategy changes can be reflected in your technology stack.
02 Training Processes in Current B2B Programs +
a. What would you improve in the training structure if selected as part of this RFP?
b. What gaps do you still see in your reps' readiness during onboarding, and what are you doing to close them?
c. What processes do you have to continuously upgrade the skills of your frontline management team, particularly in terms of coaching for higher performance in B2B selling and critical thinking?
d. How do frontline managers reinforce training through ongoing coaching and inspections?
e. What is your approach to remediation for reps who do not meet readiness benchmarks?
03 Talent Acquisition (Hiring, Onboarding, Retention, Bonus Structure) +
a. How can we best collaborate in the overall talent acquisition process for hiring & retention?
b. What have been your hiring challenges for FedEx-dedicated roles over the last year, and how have you addressed them? How can we help address any of those concerns together?
c. If revenue share plan is changed to a full goal attainment structure, how will that impact your current bonus structure in place?
d. How do you identify early attrition risk and intervention within the first 6 months?
04 Selling Strategy & Best Practices +
a. What insights have your reps surfaced about FedEx customer needs that we may not be aware of?
b. If you were redesigning your FedEx selling strategy from scratch, what would you do differently?
c. How do you ensure consistent execution of selling strategy across regions and delivery models?
05 Culture Fit with FedEx +
a. What changes would you make to strengthen alignment between our organizations? If any?
b. What have you learned about FedEx's culture that has changed how you operate?
c. How do leaders stay connected to frontline morale?
06 Investment Strategy +
a. How will you continue to prioritize reinvestment into the FedEx program? Example: If you qualify for a quarterly attainment bonus, how would you continue to reinvest outside of payment to FTEs?
b. What investments (tools, people, process improvements) have you proactively done to support the DDC program that was not asked for by FedEx?
07 Onshore, Nearshore, Offshore Structure & Hourly Rate +
a. If FedEx decides to implement FTE in the Philippines (Offshore) in addition to US & Bogota, how much implementation time would be needed for a smooth transition?
b. What are your biggest challenges in the current FTE model (onshore/nearshore/offshore), and how would you solve them?
c. In the initial RFP responses, it was recommended for two additional Managers and an Analyst as part of the overall pay structure. Can you do a deeper dive into the ask on these 3 positions?
d. There is no question that agent retention has been a major challenge with the Nearshore team. What is your strategy to address this trend and establish a more tenured staff?
08 Proactive Support & Engagement +
a. Share one example where you innovated or solved a problem that FedEx didn't explicitly ask for.
b. If awarded the business, what would you improve on Day 1 based on everything you've learned?
c. If FedEx were evaluating your performance one year from now and considered this program a success, what specifically would be true that is not true today?